DSP-based synchronous control of dual linear motors via Sugeno type fuzzy neural network compensator

NCUIR > College of Electrical Engineering & Computer Science > Department of Electrical Engineering > journal & Dissertation > Item 987654321/107089

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/107089

Title:	DSP-based synchronous control of dual linear motors via Sugeno type fuzzy neural network compensator
Authors:	林法正;Chou, Po-Huan;Chen, Chin-Sheng;Lin, Faa-Jeng
Contributors:	資訊電機學院電機工程學系
Keywords:	Adaptative systems;Applied sciences;Artificial neural networks;Compensators;Computer science;control theory;systems;Control system synthesis;Control theory. Systems;D.c. Machines;Dynamical systems;Electrical engineering. Electrical power engineering;Electrical machines;Exact sciences and technology;Mathematical analysis;Motors;Networks;Nonlinear dynamics;Regulation and control;Synchronous
Date:	2012-04-01
Issue Date:	2026-04-23 13:55:59 (UTC+8)
Publisher:	Elsevier Ltd.;Kidlington: Elsevier Ltd
Abstract:	摘要： A digital signal processor (DSP)-based complementary sliding mode control (CSMC) with Sugeno type fuzzy neural network (SFNN) compensator is proposed in this study for the synchronous control of a dual linear motors servo system installed in a gantry position stage. The dual linear motors servo system comprises two parallel permanent magnet linear synchronous motors (PMLSMs). The dynamics of the single-axis motion system with a lumped uncertainty which contains parameter variations, external disturbances and nonlinear friction force is briefly introduced first. Then, a CSMC is designed to guarantee the precision position tracking requirement in single-axis control for the dual linear motors. Moreover, to enhance the robustness to uncertainties and to eliminate the synchronous error of dual linear motors, the CSMC with a SFNN compensator is proposed where the SFNN compensator is designed mainly to compensate the synchronous error. Furthermore, to increase the control performance of the proposed intelligent control approach, a 32-bit floating-point DSP, TMS320VC33, is adopted for the implementation of the proposed CSMC and SFNN. In addition, some experimental results are illustrated to show the validity of the proposed control approach. 出版者： Kidlington: Elsevier Ltd 出版日期： 2012-04-01 出處： Journal of the Franklin Institute, 2012-04, Vol.349 (3), p.792-812 版權： 2011 The Franklin Institute 版權： 2015 INIST-CNRS 識別號： ISSN: 0016-0032 識別號： EISSN: 1879-2693 識別號： DOI: 10.1016/j.jfranklin.2011.11.005 識別號： CODEN: JFINAB
Appears in Collections:	[Department of Electrical Engineering] journal & Dissertation

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